code: def __init__(
      self,
      num_features: Optional[int] = None,
      feature_extractor: Optional[torch.nn.Module] = None,
      output_transform: Callable = lambda x: x,
      device: Union[str, torch.device] = torch.device("cpu"),
  ) -> None:
      super(DummyInceptionMetric, self).__init__(
          num_features=num_features,
          feature_extractor=feature_extractor,
          output_transform=output_transform,
          device=device,
      )
  
file_path: ignite/tests/ignite/metrics/gan/test_utils.py
imports: from typing import Callable, Optional, Union
  from unittest.mock import patch
  import pytest
  import torch
  import torchvision
  from ignite.metrics.gan.utils import _BaseInceptionMetric, InceptionModel
label_desc: Use image node_id 1 to create a new DummyInceptionMetric object from inherited base classes: _BaseInceptionMetric with example: obj = DummyInceptionMetric(num_features, feature_extractor, output_transform, device)